3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.LG2022★ 3 cited
Extracting Rules from Neural Networks with Partial Interpretations
Cosimo Persia, Ana Ozaki
We investigate the problem of extracting rules, expressed in Horn logic, from neural network models. Our work is based on the exact learning model, in which a learner interacts wit…
cs.LO2020
On the Learnability of Possibilistic Theories
Cosimo Persia, Ana Ozaki
We investigate learnability of possibilistic theories from entailments in light of Angluin's exact learning model. We consider cases in which only membership, only equivalence, and…
cs.AI2019
Learning Query Inseparable ELH Ontologies
Ana Ozaki, Cosimo Persia, Andrea Mazzullo
We investigate the complexity of learning query inseparable ELH ontologies in a variant of Angluin's exact learning model. Given a fixed data instance A* and a query language Q, we…